Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema

BACKGROUND: This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals. METHODS: Two hundred and ninety-five images of optic neuropathies, 295 images of PPE, and 779 control images were used. Pseudopapilledema was de...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahn, Jin Mo, Kim, Sangsoo, Ahn, Kwang-Sung, Cho, Sung-Hoon, Kim, Ungsoo S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688269/
https://www.ncbi.nlm.nih.gov/pubmed/31399077
http://dx.doi.org/10.1186/s12886-019-1184-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688269/
https://www.ncbi.nlm.nih.gov/pubmed/31399077
http://dx.doi.org/10.1186/s12886-019-1184-0

Ejemplares similares